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Home / India News / India could have 2.87 lakh Covid-19 cases per day by 2021 winter if no cure found: MIT study

India could have 2.87 lakh Covid-19 cases per day by 2021 winter if no cure found: MIT study

MIT professors Hazhir Rahmandad and John Sterman, and PhD candidate Tse Yang Lim, indicated that the top ten countries by projected daily infection rates at the end of winter 2021 are India with 2.87 lakh infections per day, followed by the United States, South Africa, Iran, Indonesia, the UK, Nigeria, Turkey, France, and Germany.

india Updated: Jul 08, 2020 18:00 IST
hindustantimes.com | Edited by Sohini Sarkar
hindustantimes.com | Edited by Sohini Sarkar
Hindustan Times, New Delhi
Aggressive testing by nations and reductions in contacts in response to risk perception will significantly reduce future Covid-19 cases while laxer response, negligence and normalisation of risks can lead to new waves of the coronavirus infection.
Aggressive testing by nations and reductions in contacts in response to risk perception will significantly reduce future Covid-19 cases while laxer response, negligence and normalisation of risks can lead to new waves of the coronavirus infection.(RAJ K RAJ/HT PHOTO.)

In the absence of an effective vaccine and improved health infrastructure across states, India could record about 2.87 lakh projected cases of coronavirus per day by the end of winter 2021, according to a study by scientists and researchers from the Massachusetts Institute of Technology (MIT).

MIT professors Hazhir Rahmandad and John Sterman, and PhD candidate Tse Yang Lim, indicated that the top ten countries by projected daily infection rates at the end of winter 2021 are India with 2.87 lakh infections per day, followed by the United States, South Africa, Iran, Indonesia, the UK, Nigeria, Turkey, France, and Germany.

The study used data from about 84 countries spanning an estimated 4.75 billion people. With the help of the global data, the researchers developed a dynamic epidemiological model for projected coronavirus infections.

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Adding a note of caution, the researchers said that the projections for the spread of the disease are very sensitive to assumed testing of samples, behavioural, and policy responses, and they should be interpreted as indicators of potential risk and not a precise forecast of future cases in several countries.

Aggressive testing by nations and reductions in contacts in response to risk perception will significantly reduce future Covid-19 cases while laxer response, negligence and normalisation of risks can lead to outbreaks which could overwhelm existing health infrastructure of countries..

By making additional assumptions on future testing and responses, the researchers said the model can inform future trajectories of the disease.

“We have explored a few projections out to spring 2021 that exclude vaccine and treatment availability,” the MIT researchers said.

Projections under three scenarios were taken into account as part of the study:

1. Using the current country-specific testing rates and response functions moving forward.

2. If enhanced testing -- of 0.1 per cent a day -- is adopted on July 1.

3. If sensitivity of contact rate to perceived risk is set to 8, leaving testing at current levels.

The first two scenarios project a very large burden of new coronavirus cases by the latter half of 2020, with hundreds of millions of cases concentrated in a few countries estimated to have insufficient responses given the high risks, primarily India, but also Bangladesh, Pakistan, and the United States.

The United States currently leads the world with the highest concentration of Covid-19 cases and a record number of deaths. India, however, is not too far behind, occupying the third spot, preceded only by Brazil. Amid a surge in Covid-19 cases, India on Tuesday said the total number of coronavirus infections and fatalities per million population in the country are among the lowest in the world.

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“Our model simulates the progression and spread of Covid-19, including how people interact, how many get sick, how many get tested, how many are hospitalized, how many die -- and how people change their behaviour in response to the risk they perceive,” Rahmandad, one of the researchers said.

“We then use a wide range of data to estimate the parameters of the model -- say, what fraction of infections are asymptomatic, and how contagious the virus is -- to give the best match to the real world data,” they said.

On the flip side, the magnitude of the Covid-19 pandemic is widely underreported, the researchers have warned.

They estimated that Covid-19 cases and deaths as of June 18 are, respectively, 11.8 and 1.48 times higher than official reports across the 84 nations considered for the study.

The authors also cautioned that despite the increasing numbers no country is remotely close to establishing herd immunity to combat the virus.

“Actual coronavirus cases are far greater than official reports suggest, the majority of people remain susceptible. Waiting for herd immunity is not a viable path out of the current pandemic,” Rahmandad said.

On Wednesday, India reported a spike of 22,752 Covid-19 cases in the last 24 hours, taking the country’s coronavirus tally to 7,42,417, the Union Ministry of Health and Family Welfare said.

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